Home / Projects / AI Failure Casebook for Postgraduate Teaching
AI Failure Casebook for Postgraduate Teaching
AI Failure Casebook for Postgraduate Teaching is a project by Akash Renuka Ashok (Educator). A curated collection of real AI failure examples intended to help students understand uncertainty, bias, overconfidence and responsible deployment.
- Role
- Educator
- Category
- Teaching Resource
- Stack
- AI evaluation, Failure-mode analysis, Teaching design
The problem
Abstract discussion of AI limitations rarely lands with students the way concrete, real-world failure cases do.
What Akash owned
Curated the case collection and designed the discussion prompts and assessment-aligned questions.
Highlights
- Designed discussion prompts and assessment-aligned questions
- Connected technical failure analysis with ethical and practical reflection
- Used real-world cases to make abstract AI limitations understandable
Outcome
Produced a concrete, discussion-ready resource designed to help students reason about AI failure modes and responsible deployment.
More work by Akash Renuka Ashok:
Last updated